ML Ops Engineer

A company is looking for an ML Ops Engineer to join their AI infrastructure team.

Key Responsibilities

Architect, implement, and maintain end-to-end ML pipelines

Automate model training and deployment workflows using CI / CD tools

Manage cloud and on-prem environments for scalable and secure ML workloads

Required Qualifications

2+ years of experience in software, DevOps, or ML Ops engineering

Deep familiarity with ML Ops platforms (e.g., MLflow, Kubeflow)

Expertise with CI / CD and IaC tools (e.g., Terraform, CloudFormation)

Strong experience with containerization and orchestration (Docker, Kubernetes)

Proficiency in Python and automation scripting